Tal Gordon - Hessian vs. Gauss-Newton Matrix: An Analytic Study
58:16
Ido Greenberg - Real-World AI: Risk and Robustness in Reinforcement Learning and Kalman Filtering
56:46
Guy Kornowski - The Elusive Role of High Dimensions in Modern Optimization and Generalization (En)
59:02
Idan Attias - Information Complexity of Stochastic Convex Optimization:
1:04:20
Hilla Schefler - A unified characterization of private learning
50:50
Prof. Błażej Miasojedow | Langevin Monte Carlo Beyond Lipschitz Gradient Continuity
1:01:09
Anatoly Khina - Geometry-oriented Measures of Dependence
54:41
Tomer Michaeli - The implicit bias of SGD: A Dynamical stability analysis (Heb)
1:01:28